如何在matplotlib中添加标记样式的列表？

我正在使用进行5D可视化绘制matplotlib。

我试图根据任意阈值在散点图中显示不同的标记，该阈值基于条件，即我将其值分配给要用于传递给的变量的条件ax.scatter(..., marker=markers)。

我的问题是，尽管我成功地在单独的图中实现了相同的解决方案，但在这种情况下，我却得到了Unrecognized marker error。

这是我要实现的代码：

markers = ['o' if ub > 1.0 else 's' for ub in list(zScoreXsigVIF['mwntd'])]

# Plot DataFrame scatter plot
ax.scatter(zScoreXsigVIF[resid.price >= 0].trvou, zScoreXsigVIF[resid.price >= 0].demand, zScoreY[resid.price >= 0], color='black', alpha=1.0, facecolor='white', s=ss, marker=markers)

这是我遇到的错误Jupyter Lab：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
c:\program files\python36\lib\site-packages\matplotlib\markers.py in set_marker(self, marker)
    267             try:
--> 268                 Path(marker)
    269                 self._marker_function = self._set_vertices

c:\program files\python36\lib\site-packages\matplotlib\path.py in __init__(self, vertices, codes, _interpolation_steps, closed, readonly)
    131         """
--> 132         vertices = _to_unmasked_float_array(vertices)
    133         if (vertices.ndim != 2) or (vertices.shape[1] != 2):

c:\program files\python36\lib\site-packages\matplotlib\cbook\__init__.py in _to_unmasked_float_array(x)
   2049     else:
-> 2050         return np.asarray(x, float)
   2051 

c:\program files\python36\lib\site-packages\numpy\core\numeric.py in asarray(a, dtype, order)
    491     """
--> 492     return array(a, dtype, copy=False, order=order)
    493 

ValueError: could not convert string to float: 's'

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
<ipython-input-261-78858d0a01f7> in <module>()
     18 
     19 # Plot DataFrame scatter plot
---> 20 ax.scatter(zScoreXsigVIF[resid.price >= 0].trvou, zScoreXsigVIF[resid.price >= 0].demand, zScoreY[resid.price >= 0], color='black', alpha=1.0, facecolor='white', s=ss, marker=markers)
     21 ax.scatter(zScoreXsigVIF[resid.price < 0].trvou, zScoreXsigVIF[resid.price < 0].demand, zScoreY[resid.price < 0], color='black', alpha=1.0, s=ss, marker=markers)
     22 

c:\program files\python36\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in scatter(self, xs, ys, zs, zdir, s, c, depthshade, *args, **kwargs)
   2360 
   2361         patches = super(Axes3D, self).scatter(
-> 2362             xs, ys, s=s, c=c, *args, **kwargs)
   2363         is_2d = not cbook.iterable(zs)
   2364         zs = _backports.broadcast_to(zs, len(xs))

c:\program files\python36\lib\site-packages\matplotlib\__init__.py in inner(ax, *args, **kwargs)
   1853                         "the Matplotlib list!)" % (label_namer, func.__name__),
   1854                         RuntimeWarning, stacklevel=2)
-> 1855             return func(ax, *args, **kwargs)
   1856 
   1857         inner.__doc__ = _add_data_doc(inner.__doc__,

c:\program files\python36\lib\site-packages\matplotlib\axes\_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
   4301             marker_obj = marker
   4302         else:
-> 4303             marker_obj = mmarkers.MarkerStyle(marker)
   4304 
   4305         path = marker_obj.get_path().transformed(

c:\program files\python36\lib\site-packages\matplotlib\markers.py in __init__(self, marker, fillstyle)
    187         self._marker_function = None
    188         self.set_fillstyle(fillstyle)
--> 189         self.set_marker(marker)
    190 
    191     def __getstate__(self):

c:\program files\python36\lib\site-packages\matplotlib\markers.py in set_marker(self, marker)
    270             except ValueError:
    271                 raise ValueError('Unrecognized marker style'
--> 272                                  ' {0}'.format(marker))
    273 
    274         self._marker = marker

ValueError: Unrecognized marker style ['s', 's', 's']

导致此错误的标记中的值我在做什么呢？